Lots-of-LoRAs/task320_stereoset_classification_race huggingface dataset:
Definition: You are given a target race, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype is an idea that goes against the widely held but oversimplified notion of a group of people. Sentences and targets are unrelated if there is no relevance between them.

Positive Example 1 -
Input: Target: hispanic 
My professor is a hispanic man. He came here illegally.
Output: stereotype

Positive Example 2 -
Input: Target: hispanic 
My professor is a hispanic man. He is a legal citizen.
Output: anti-stereotype

Negative Example 1 -
Input: Target: hispanic 
My professor is a hispanic man. He likes to teach chinese history.
Output: stereotype

Negative Example 2 -
Input: Target: hispanic 
My professor is a hispanic man. He is going home.
Output: stereotype

Now complete the following example -
Input: Target: Ecuador 
Ecuador is populated by poor people. it is economically behind America.
Output: 


Output: stereotype
Definition: You are given a target race, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype is an idea that goes against the widely held but oversimplified notion of a group of people. Sentences and targets are unrelated if there is no relevance between them.

Positive Example 1 -
Input: Target: hispanic 
My professor is a hispanic man. He came here illegally.
Output: stereotype

Positive Example 2 -
Input: Target: hispanic 
My professor is a hispanic man. He is a legal citizen.
Output: anti-stereotype

Negative Example 1 -
Input: Target: hispanic 
My professor is a hispanic man. He likes to teach chinese history.
Output: stereotype

Negative Example 2 -
Input: Target: hispanic 
My professor is a hispanic man. He is going home.
Output: stereotype

Now complete the following example -
Input: Target: African 
I would love to go on a safari trip to Africa and become an African. I would love to have an ice cream cone.
Output: 


Output: unrelated
Definition: You are given a target race, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype is an idea that goes against the widely held but oversimplified notion of a group of people. Sentences and targets are unrelated if there is no relevance between them.

Positive Example 1 -
Input: Target: hispanic 
My professor is a hispanic man. He came here illegally.
Output: stereotype

Positive Example 2 -
Input: Target: hispanic 
My professor is a hispanic man. He is a legal citizen.
Output: anti-stereotype

Negative Example 1 -
Input: Target: hispanic 
My professor is a hispanic man. He likes to teach chinese history.
Output: stereotype

Negative Example 2 -
Input: Target: hispanic 
My professor is a hispanic man. He is going home.
Output: stereotype

Now complete the following example -
Input: Target: Lebanon 
He travelled from Lebanon. It was very dangerous there and the people look evil.
Output: 


Output: stereotype
Definition: You are given a target race, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype is an idea that goes against the widely held but oversimplified notion of a group of people. Sentences and targets are unrelated if there is no relevance between them.

Positive Example 1 -
Input: Target: hispanic 
My professor is a hispanic man. He came here illegally.
Output: stereotype

Positive Example 2 -
Input: Target: hispanic 
My professor is a hispanic man. He is a legal citizen.
Output: anti-stereotype

Negative Example 1 -
Input: Target: hispanic 
My professor is a hispanic man. He likes to teach chinese history.
Output: stereotype

Negative Example 2 -
Input: Target: hispanic 
My professor is a hispanic man. He is going home.
Output: stereotype

Now complete the following example -
Input: Target: Cameroon 
Cameroon has a rich culture integrated with their traditional foods. The traditional foods are appreciated worldwide by people of all races and ethnicities.
Output: 


Output: anti-stereotype